Job Description:
This position will be part of the Engineering R&D team and will bring strong project management skills to our data science capabilities. You work in a multidisciplinary team exploring, connecting and mining internal data sources and will develop data models using algorithms for pattern detection and forecasting. In this position you will be managing projects that use advanced analytics techniques, such as optimization, computer vision, machine learning, and statistical analysis, to develop solutions that help deliver significant value to a variety of Cargill’s businesses and functions. Candidates will be exposed to a wide spectrum of high visibility projects ranging from sales effectiveness, competitive excellence, operational efficiency, sourcing and procurement, supply-chain optimization to trading and financial analysis. This position will have key responsibilities being an effective manager for the data science capability. Responsibilities include portfolio development, project planning and execution, managing a team of direct report data scientists, and client & customer relationships. The ability to provide thought leadership in the area of data science particularly as related to helping define the business case, technical approach, and then supporting and sustaining the deployed solution. Incumbent should be able to communicate the value of data science within Cargill. Principal Accountabilities
Additional Info:
Want to work at the forefront of artificial intelligence and agriculture? Cargill has a significant presence across most supply chains in the agricultural space. With that footprint comes massive amounts of data that can inform us about markets and ways to improve our business practices. Equal Opportunity Employer, including Disability/Vet. Job: Research and Development Primary Location: US-MN-Plymouth Schedule: Full-time Job Type: Standard Shift: Day Job[Click Here to Access the Original Job Post]
This position will be part of the Engineering R&D team and will bring strong project management skills to our data science capabilities. You work in a multidisciplinary team exploring, connecting and mining internal data sources and will develop data models using algorithms for pattern detection and forecasting. In this position you will be managing projects that use advanced analytics techniques, such as optimization, computer vision, machine learning, and statistical analysis, to develop solutions that help deliver significant value to a variety of Cargill’s businesses and functions. Candidates will be exposed to a wide spectrum of high visibility projects ranging from sales effectiveness, competitive excellence, operational efficiency, sourcing and procurement, supply-chain optimization to trading and financial analysis. This position will have key responsibilities being an effective manager for the data science capability. Responsibilities include portfolio development, project planning and execution, managing a team of direct report data scientists, and client & customer relationships. The ability to provide thought leadership in the area of data science particularly as related to helping define the business case, technical approach, and then supporting and sustaining the deployed solution. Incumbent should be able to communicate the value of data science within Cargill. Principal Accountabilities
- 30% Network with business stakeholders to develop a pipeline of data science projects aligned with business strategies. Translate complex and ambiguous business problems into project charters clearly identifying technical risks and project scope.
- 30% Lead a cross-disciplinary project team of database specialists, data scientists, and business subject-matter experts to complete project deliverables on-time and within budget.
- 15% Design strategies and propose algorithms to analyze and leverage data from existing as well as new data sources.
- 15% Develop and code models by applying algorithms to large structured as well as unstructured data sets for our more complex projects. Develop visualization products to share analysis across a large group of business users.
- 10% Continuously seek out industry best practices and develop skills to create new capabilities for data analytics at Cargill to improve business decisions.
Qualifications
Required Qualifications:- Bachelor’s degree from an accredited college/university in Computer Science, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research or related fields.
- Minimum 8+ years relevant work experience (if Bachelor’s degree) or minimum 3 years relevant work experience (if Master’s degree) with a proven track record in driving value in a commercial setting using data science skills.
- In-depth knowledge of various modeling algorithms e.g. Linear, GLMs, trees based models, neural networks, clustering, PCA, and time series models.
- Proficiency in R (e.g. ggplot2, cluster, dplyr, caret), Python (e.g. pandas, scikit-learn, bokeh, nltk), Spark – MLlib, H20, or other statistical tools.
- In-depth knowledge of databases, data modeling, Hadoop, and distributed computing frameworks.
- At least 2 years managing data scientists.
- Experience putting machine learning models into production.
- Strong preference for consulting experience including managing client expectations and presenting to executives.
- Strong SQL skills and experience/knowledge.
- Ability to understand complex and ambiguous business needs and applying the right tools and approaches.
- Must be curious, self-motivating, driven and have a passion for problem solving.
- Collaborative team player.
- Excellent communication skills, both written and verbal.
- Experience with predictive model deployment, tuning, and performance monitoring.
- Experience with Agile project management tools (e.g. Rally, Jira, and Waffle).
- Experience working in a cloud environment e.g. Amazon Web Services.
- Strong presentation skills at executive level. Ability to present statistical results to lay persons in an easy to understand way.
- 5-10% travel globally.
- Master’s degree from an accredited college/university in Business Analytics, Computer Science, Machine Learning, Computational Linguistics, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields.
- Experience in agriculture or commodity businesses.
- Experience in deep learning neural networks.
- Experience with weather and geospatial data.
- Experience with “computer vision” applications with images and video
- Experience with back testing strategies
- Knowledge of trading signal detection analytics.
- Experience with Big Data development in Hadoop and Spark frameworks.
- Experience in software development environment, Agile, and code management/versioning (e.g. git).
Requeriments :
Skills :
Areas :
Additional Info:
Want to work at the forefront of artificial intelligence and agriculture? Cargill has a significant presence across most supply chains in the agricultural space. With that footprint comes massive amounts of data that can inform us about markets and ways to improve our business practices. Equal Opportunity Employer, including Disability/Vet. Job: Research and Development Primary Location: US-MN-Plymouth Schedule: Full-time Job Type: Standard Shift: Day Job[Click Here to Access the Original Job Post]